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Ml Inference Jobs in Annapolis, MD (NOW HIRING)

Synergy ECP

AI/ML Engineer

Annapolis, MD · On-site

$270K/yr

  • Medical

  • Retirement

  • PTO

Build data pipelines and workflows for model training and inference * Collaborate with software and ... Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience with data processing and ...

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD

$270K/yr

Build data pipelines and workflows for model training and inference * Collaborate with software and ... Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience with data processing and ...

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD

$270K/yr

  • Medical

  • Retirement

  • PTO

Build data pipelines and workflows for model training and inference * Collaborate with software and ... Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience with data processing and ...

Clearview AI, Inc.

Senior Machine Learning Engineer

Washington, DC · Remote

$107K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Implement efficient, scalable data pipelines and inference infrastructure * Develop high-performance tooling in ML and data engineering * Additional duties and responsibilities as reasonably required ...

Clearview AI

Senior Machine Learning Engineer

Washington, DC · On-site +1

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Implement efficient, scalable data pipelines and inference infrastructure * Develop high-performance tooling in ML and data engineering * Additional duties and responsibilities as reasonably required ...

Deloitte

AI Engineer Consultant

Baltimore, MD · Hybrid

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). A successful candidate would possess ...

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Showing results 21-40

All JobsMl Inference JobsMl Inference Jobs in Annapolis, MD

Ml Inference information

See Annapolis, MD salary details

$37.1K

$121.5K

$194.5K

How much do ml inference jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ml inference in Annapolis, MD is $121,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What are some common challenges faced by ML inference engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What are the key skills and qualifications needed to thrive in ML inference?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.

Is ML inference a high paying job?

ML inference roles are generally well-paying, especially for those with skills in machine learning frameworks, programming, and cloud platforms. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech-related positions.

What are popular job titles related to Ml Inference jobs in Annapolis, MD?

For Ml Inference jobs in Annapolis, MD, the most frequently searched job titles are:

What cities near Annapolis, MD are hiring for Ml Inference jobs?

Cities near Annapolis, MD with the most Ml Inference job openings:

Ml Inference jobs near you
Infographic showing various Ml Inference job openings in Annapolis, MD as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $121,502 per year, or $58.4 per hour.

AI/ML Data Scientist - MLOps, Quantitative, Statistics

AIToolboard

Washington, DC • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Jobs / AI/ML Data Scientist - MLOps, Quantitative, Statistics

AI/ML Data Scientist - MLOps, Quantitative, Statistics

Full-time

About the Role

Sr AI/ML Engineer with Data Scientist and MLOps experienceType: W2 With Benefits - No C2CLocation: Hybrid 2-3 days onsite in Washington, DCTop 5 Technical Skills

Top 5 Technical Skills
  • Statistical modeling, machine learning, AI, and applied analytics
  • Python
  • AWS ML Platforms (AWS SageMaker, MLFlow, S3, compute services, Redshift)
  • Model deployment and MLOps practices
  • Data Processing
Job Description

We are seeking a Full Stack Data Scientist to develop AI/ML solutions end-to-end, from business problem formulation and model development through production-ready application delivery and operationalization. This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience. The ideal candidate builds models that matter, writes code that lasts, and partners with platform teams to deploy, monitor, and operate AI/ML solutions efficiently and reliably at scale.

Key Responsibilities
  • Translate complex business requirements into AI/ML-based technical solutions and ensure efficiency, scalability and reliability
  • Design, develop, validate, and document AI/ML models and applications
  • Build production-grade Python code and pipelines for data processing, feature engineering, training, and inference.
  • Develop model-driven applications and services (batch or real-time).
  • Apply software engineering best practices including modular design, testing, code reviews, and CI/CD.
  • Collaborate with MLOps teams on deployment, monitoring, versioning, and retraining.
  • Implement model performance, stability, and data drift monitoring.
  • Produce documentation to support governance, validation, and audit requirements.
Required Qualifications
  • Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production.
  • Strong experience in statistical modeling, machine learning, AI, and applied analytics.
  • Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ).
  • Experience writing production-ready, maintainable code and application design.
  • Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift).
  • Experience with model deployment and MLOps practices
  • Strong problem-solving and communication skills.
Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.

Benefits:SES hires W2 benefitted and non-benefitted consultants. Our contract employee benefits include group medical dental vision life LT and ST disability insurance, 21 days of accrued paid time off, 401k, tuition reimbursement, performance bonuses, paid overtime, and more.

Please contact me to discuss the details of this position further.

Please forward resume directly to for immediate consideration - rstarinieri at sesc .com

I look forward to speaking with you soon!Robin StarinieriDirector of RecruitingSystems Engineering Services

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